Search Images Maps Play YouTube News Gmail Drive More »
Sign in
Screen reader users: click this link for accessible mode. Accessible mode has the same essential features but works better with your reader.

Patents

  1. Advanced Patent Search
Publication numberUS7873149 B2
Publication typeGrant
Application numberUS 10/900,331
Publication dateJan 18, 2011
Filing dateJul 28, 2004
Priority dateJun 1, 2004
Also published asUS20050276395, US20110075827
Publication number10900331, 900331, US 7873149 B2, US 7873149B2, US-B2-7873149, US7873149 B2, US7873149B2
InventorsPaul T. Schultz, Robert A. Sartini
Original AssigneeVerizon Business Global Llc
Export CitationBiBTeX, EndNote, RefMan
External Links: USPTO, USPTO Assignment, Espacenet
Systems and methods for gathering information
US 7873149 B2
Abstract
A method for retrieving information may include receiving a telephone call from a caller and identifying a telephone number from which the telephone call was made. The method may also include retrieving information from a database based on the identified telephone number. The method may further include providing an audible message to the caller to verify whether the retrieved information is correct.
Images(5)
Previous page
Next page
Claims(27)
1. A method for retrieving information, the method comprising:
receiving a telephone call from a caller;
identifying, using automatic number identification, a telephone number from which the telephone call was made;
retrieving information from a database based on the identified telephone number and not based on information obtained from querying the caller, the identified telephone number not being based on information obtained from querying the caller;
providing an audible message to the caller to verify whether a first portion of the retrieved information is correct;
requesting information from the caller, after verifying that the first portion of the retrieved information is correct;
receiving voice input in response to the request, the voice input comprising information other than the caller's name;
generating a speech recognition result, corresponding to the voice input, using at least a second portion of the retrieved information; and
verifying that the speech recognition result is correct.
2. The method of claim 1, where the retrieved information comprises a name and an address.
3. The method of claim 1, where the database comprises a directory assistance database.
4. The method of claim 1, further comprising:
prompting the caller for a home telephone number;
identifying the home telephone number;
searching the database using the identified home telephone number; and
retrieving information from the database based on the identified home telephone number.
5. The method of claim 4, where the identifying the home telephone number comprises using voice recognition to identify the home telephone number.
6. The method of claim 1, further comprising:
retrieving additional information from another database not related to the first database using at least some of the retrieved information.
7. The method of claim 1, where the generating the speech recognition result comprises:
performing a speech recognition process on the voice input, and
weighting potential results of the speech recognition process using the at least second portion of the retrieved information.
8. The method of claim 7, where the weighting comprises:
weighting a first potential result as the most likely result when the first potential result matches the at least second portion of the retrieved information.
9. A system, comprising:
a receive device to receive a telephone call from a caller; and
logic, implemented at least partially using hardware, to:
determine a telephone number from which the telephone call was made without querying the caller,
retrieve information from a first database based on the determined telephone number, the retrieved information being obtained without querying the caller and comprising at least one of an address or a name,
provide an audible message to the caller to verify whether a first portion of the retrieved information is correct,
request information from the caller, after verifying that the first portion of the retrieved information is correct,
receive voice input in response to the request, the voice input comprising information other than the caller's name or home telephone number,
generate a speech recognition result corresponding to the voice input using at least a second portion of the retrieved information, and
verify that the speech recognition result is correct.
10. The system of claim 9, where the logic is further to:
retrieve information from a second database based on the information retrieved from the first database, the second database not being associated with the first database.
11. The system of claim 10, where the logic is further to:
use information retrieved from the first database and the second database to service a request from the caller.
12. The system of claim 9, where the logic is further to:
prompt the caller for a home telephone number when the first portion of the retrieved information is not correct, and
retrieve information from the first database based on the home telephone number.
13. The system of claim 12, where the logic is further to:
identify the home telephone number using voice recognition.
14. The system of claim 9, where, when generating a speech recognition result, the logic is further to:
weight a potential speech recognition result matching the at least second portion of the retrieved information as having a high likelihood of correctly corresponding to the voice input.
15. The system of claim 9, where, when generating the speech recognition result, the logic is further to:
weight potential results of a speech recognition process using the retrieved information.
16. A system, comprising:
means for receiving a telephone call from a caller;
means for identifying a telephone number from which the telephone call was made without querying the caller;
means for retrieving first information based on the identified telephone number and without querying the caller;
means for providing an audible message to the caller, the audible message including at least a first portion of the first information;
means for receiving a response, from the caller, to the audible message;
means for identifying whether the response is an affirmative response;
means for requesting information from the caller when the response is identified as an affirmative response;
means for receiving a voice input in response to the request, the voice input comprising information other than the caller's name or home telephone number;
means for generating a speech recognition result corresponding to the voice input using at least a second portion of the first information; and
means for verifying that the speech recognition result is correct.
17. The system of claim 16, further comprising:
means for using the first information to retrieve second information associated with the caller, the second information being retrieved via a network.
18. A method, comprising:
receiving a telephone call from a caller;
retrieving information based on a telephone number from which the telephone call was placed and not based on information obtained from querying the caller, the telephone number being identified without querying the caller;
interacting with the caller to verify whether a first portion of the retrieved information is correct;
requesting information from the caller, when the retrieved information is associated with the caller that placed the call, after verifying that the first portion is correct;
receiving voice input in response to the request, the voice input comprising information other than the caller's name;
generating a speech recognition result corresponding to the voice input using at least a second portion of the retrieved information; and
verifying that the speech recognition result is correct.
19. The method of claim 18, where the first retrieved information comprises at least one of a name or an address.
20. The method of claim 18, further comprising:
prompting the caller for a home telephone number when the first portion of the retrieved information is not correct;
retrieving second information based on the home telephone number; and
determining whether the second information is associated with the caller.
21. The method of claim 18, where the interacting comprises:
providing an audible message to the caller, the audible message including the first portion of the retrieved information, and
determining whether an input from the caller in response to the audible message represents an affirmative response.
22. The method of claim 18, where the interacting comprises:
requesting information from the caller,
receiving a second voice input in response to the request, and generating a second speech recognition result corresponding to the second voice input.
23. The method of claim 22, where the generating the second speech recognition result comprises:
using at least a third portion of the retrieved information to generate the second speech recognition result.
24. The method of claim 22, where the generating the second speech recognition result comprises:
performing a speech recognition process on the second voice input, and
weighting potential results of the speech recognition process using at least a portion of the first information.
25. The method of claim 18, further comprising:
retrieving second information using at least a third portion of the retrieved information when the first portion of the retrieved information is correct.
26. A method, comprising:
retrieving information from a first database, the retrieved information comprising a name and other information associated with the name, the retrieved information being retrieved without querying the user and based on a telephone number, from which a telephone call was placed by a user, that is identified without querying the user;
interacting with the user to verify whether a first portion of the retrieved information is correct;
receiving a voice input from the user in response to information requested from the user, after verifying that the first portion of the retrieved information is correct;
generating a speech recognition result, corresponding to the received voice input, using at least a second portion of the retrieved information;
determining that the speech recognition result is correct;
verifying an identity of the user using the speech recognition result; and
retrieving second information associated with the user, from a second database, after the identity of the user has been verified, the second database not being related to the first database.
27. The method of claim 26, where the second information comprises at least one of a date of birth or a personal identification number and the verifying the identity of the user comprises:
verifying the identity of the user when the potential speech recognition result matches the second information.
Description
RELATED APPLICATIONS

This application is a continuation-in-part of U.S. patent application Ser. No. 10/857,446, entitled Systems and Methods for Performing Speech Recognition, filed Jun. 1, 2004, the disclosure of which is hereby incorporated herein by reference. This application claims priority under 35 U.S.C. §119 based on U.S. Provisional Application Ser. No. 60/584,123, filed Jul. 1, 2004, the disclosure of which is also hereby incorporated herein by reference.

FIELD OF THE INVENTION

Implementations consistent with the invention relate generally to gathering information and, more particularly, to leveraging existing information when servicing requests.

BACKGROUND OF THE INVENTION

Conventional speech recognition systems attempt to convert speech from a user into text that represents the words that were actually spoken by the user. Such speech recognition systems typically suffer from a number of problems and are relatively inaccurate. That is, conventional speech recognition systems are often unable to determine what was spoken, incorrectly determine what was spoken or require significant dialog with the user in order to determine what was spoken. These problems limit the usefulness of automated systems that utilize speech recognition systems, such as automated systems servicing telephone calls.

SUMMARY OF THE INVENTION

According to one aspect of the invention, a method for retrieving information is provided. The method includes receiving a telephone call from a caller and identifying a telephone number from which the telephone call was made. The method also includes retrieving information from a database based on the identified telephone number and providing an audible message to the caller to verify whether the retrieved information is correct.

According to another aspect of the invention, a system including a receive device and logic is provided. The receive device is configured to receive a telephone call from a caller and the logic is configured to determine a telephone number from which the telephone call was made. The logic is also configured to retrieve information from a first database based on the telephone number, where the retrieved information includes at least one of an address or a name. The logic is further configured to provide an audible message to the caller to verify whether the retrieved information is correct.

Another aspect of the invention provides a method that includes receiving a telephone call. The method also includes retrieving first information based on a telephone number from which the telephone call was placed. The method further includes determining whether the first information is associated with a caller that placed the telephone call.

Still another aspect of the invention provides a method that includes retrieving first information from a first database. The method also includes receiving a voice input from a user and generating a speech recognition result corresponding to the voice input using the first information.

Other features and advantages of the invention will become readily apparent to those skilled in this art from the following detailed description. The embodiments shown and described provide illustration of the best mode contemplated for carrying out the invention. The invention is capable of modifications in various obvious respects, all without departing from the invention. Accordingly, the drawings are to be regarded as illustrative in nature, and not as restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference is made to the attached drawings, wherein elements having the same reference number designation may represent like elements throughout.

FIG. 1 is a block diagram of an exemplary system in which methods and systems consistent with the invention may be implemented.

FIG. 2 is a block diagram illustrating an exemplary configuration of the server of FIG. 1 in an implementation consistent with the invention.

FIG. 3 is an exemplary functional block diagram of the speech recognizer of FIG. 1, consistent with the invention.

FIG. 4 is a flow diagram illustrating exemplary processing consistent with principles of the invention.

DETAILED DESCRIPTION

FIG. 1 is a block diagram of an exemplary system 100 in which methods and systems consistent with the invention may be implemented. System 100 may include network 110, user device 120, server 130 and database 140. The exemplary configuration illustrated in FIG. 1 is provided for simplicity. It should be understood that a typical system may include more or fewer devices than illustrated in FIG. 1. In addition, other devices that facilitate communications between the various entities illustrated in FIG. 1 may also be included in system 100.

Network 110 may include any type of network, such as a local area network (LAN), a wide area network (WAN), a public telephone network (e.g., the public switched telephone network (PSTN)), a wireless network, a virtual private network (VPN), the Internet, an intranet, or a combination of networks. The connections shown in FIG. 1 may be wired, wireless and/or optical connections.

Network 110 may further include one or more devices, such as a network gateway, that allow divergent transport networks to communicate and cooperatively carry traffic. The network gateway may also adapt analog or pulse code modulation (PCM) encoded voice signals to a packetized data stream suitable for transport over network 110.

User device 120 may include any type of conventional telephone that is used to place and receive telephone calls. For example, user device 120 may be a standard telephone, a cordless telephone, a cellular telephone or any other type of conventional telephone.

User device 120 may also include any type of device that is capable of transmitting and receiving voice signals to/from a network. For example, user device 120 may include any client device, such as a personal computer (PC), a laptop computer, a personal digital assistant (PDA), a web-based appliance, etc., that is configured to provide telephone functions and is able to transmit/receive voice signals via network 110. User device 120 may, for example, be a session initiation protocol (SIP)-based telephone device. In this case, the SIP-based telephone device may take the form of a standalone device, e.g., a SIP telephone designed and configured to function and appear like a conventional telephone. A SIP-based telephone device may also include a software client that may run, for example, on a conventional PC, laptop computer or other computing device.

Server 130 may include any server and/or computing device that is able to connect to network 110 and transmit and receive information via network 110. Server 130 may also include a telephone device (not shown) that interfaces with network 110 to receive and/or place telephone calls and an automated system that services telephone calls. For example, server 130 may be associated with an entity that services literature requests, such as requests for product catalogs, requests for consumer or government-related publications, or requests for any other information. In alternative implementations, server 130 may be associated with an entity that provides other services. In an exemplary implementation consistent with the invention, server 130 may include a speech recognizer 135 that performs speech recognition, as described in more detail below.

FIG. 2 illustrates an exemplary configuration of server 130 in an implementation consistent with the invention. Other configurations may alternatively be used. Server 130 may include a bus 210, a processor 220, a memory 230, a read only memory (ROM) 240, a storage device 250, an input device 260, an output device 270, and a communication interface 280. Bus 210 permits communication among the components of server 130.

Processor 220 may include any type of conventional processor or microprocessor that interprets and executes instructions. Memory 230 may include a random access memory (RAM) or another dynamic storage device that stores information and instructions for execution by processor 220. Memory 230 may also be used to store temporary variables or other intermediate information during execution of instructions by processor 220.

ROM 240 may include a conventional ROM device and/or another static storage device that stores static information and instructions for processor 220. Storage device 250 may include a magnetic disk or optical disk and its corresponding drive and/or some other type of magnetic or optical recording medium and its corresponding drive for storing information and instructions.

Input device 260 may include one or more conventional mechanisms that permit an operator to input information to server 130, such as a keyboard, a mouse, a pen, voice recognition and/or biometric mechanisms, etc. Output device 270 may include one or more conventional mechanisms that output information to the operator, including a display, a printer, one or more speakers, etc. Communication interface 280 may include any transceiver-like mechanism that enables server 130 to communicate with other devices and/or systems. For example, communication interface 280 may include a modem or an Ethernet interface to a LAN. Alternatively, communication interface 280 may include other mechanisms for communicating via a network.

Server 130, consistent with the invention, may perform processing in response to processor 220 executing sequences of instructions contained in memory 230. Such instructions may be read into memory 230 from another computer-readable medium, such as storage device 250, or from a separate device via communication interface 280. It should be understood that a computer-readable medium may include one or more memory devices or carrier waves. Execution of the sequences of instructions contained in memory 230 causes processor 220 to perform the acts that will be described hereafter. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the invention. Thus, implementations consistent with the invention are not limited to any specific combination of hardware circuitry and software.

Referring back to FIG. 1, database 140 may include one or more memory devices that store data. In an exemplary implementation, database 140 may also include one or more processors, computers and/or servers that control access to database 140 and facilitate searching of database 140. These processor(s)/computer(s)/server(s) may be configured in a manner similar to server 130 illustrated in FIG. 2.

In one implementation, database 140 may store information, such as name and address information. For example, database 140 may be a directory assistance database that stores telephone numbers along with names, addresses and other information associated with each respective telephone number. In other implementations, database 140 may store other information based on the particular application.

Server 130 and database 140 are illustrated in FIG. 1 as being connected via network 110. In alternative implementations, server 130 and database 140 may be connected directly to each other, connected via a network separate from network 110, such as a private network, etc. In still other alternative implementations, the functions performed by server 130 and database 140, described in more detail below, may be performed by a single device/platform.

FIG. 3 is an exemplary functional block diagram of speech recognizer 135, according to an implementation consistent with the invention. The logical blocks illustrated in FIG. 3 may be implemented in software, hardware, or a combination of hardware and software. Speech recognizer 135 is illustrated in FIG. 1 as being implemented in server 130. It should be understood that speech recognizer 135 may be located externally from server 130 in other implementations.

Speech recognizer 135 may include a front end 310, a speech processing module 320 and a rules database 330. Front end 310 may include an automatic number identification (ANI) system that determines the telephone number associated with an incoming call. For example, front end 310 may receive an incoming call from user device 120 and determine the caller's telephone number upon call set-up. Front end 310 may also forward the caller's telephone number to database 140, where the caller's telephone number is used as an index to determine the caller's name and/or address.

Front end 310 may also access other databases (not shown) to retrieve additional information associated with the caller. In each case, the retrieved information may be forwarded to front end 310. Front end 310 may receive the retrieved information from database 140 and/or other databases and may use this information to assist in the gathering of information from the caller at user device 120.

Speech processing module 320 may perform speech recognition on voice data input from a caller. Speech processing module 320 may perform the speech recognition in accordance with rules or grammars stored in rules database 330.

Rules database 330 may store a number of rules or grammars associated with performing speech recognition. For example, a grammar may define a particular rule with respect to performing speech recognition. In an implementation consistent with the invention, the grammars stored in rules database 330 may be customized based on constraints associated with the subject of the speech recognition process.

Front end 310, as described above, may identify a telephone number of a caller using an ANI system. Front end 310 may also forward the caller's telephone number to, for example, database 140 to identify additional information associated with the caller. Database 140 may forward the additional information to front end 310. This information may enable server 130 to more efficiently assist callers, as described in more detail below.

FIG. 4 is a flow diagram illustrating exemplary processing consistent with principles of the invention. Processing may begin with a caller establishing communications with server 130 via user device 120. For example, a caller at user device 120 may dial a telephone number associated with server 130 or enter an Internet address associated with server 130. Server 130, as described above, may include a telephone device (not shown) that is able to receive telephone calls. Alternatively, a telephone device not associated with server 130 may receive the call and forward the call to server 130.

Front end 310 may also identify a telephone number of the caller using an ANI system (act 410). For example, an ANI system associated with server 130 may provide the caller's telephone number to server 130 upon call set-up.

Front end 310 may also provide an automated greeting to the caller at user device 120. For example, front end 310 may provide a greeting, such as “You have reached Company X, if you wish to receive a copy of our catalog at your home address, press 1.” Alternatively, front end 310 may provide a menu of options and request that the caller voice a selection. In this case, speech processing module 320 may determine the caller's selection. In still other alternatives, front end 310 may bypass this initial greeting until additional information has been gathered regarding the caller.

Front end 310, as discussed above, may also forward the caller's telephone number to database 140 to attempt to identify information associated with the caller (act 420). Database 140 may receive the caller's telephone number and use the caller's telephone number as an index to search database 140.

For example, as discussed above, assume that database 140 is a directory assistance database that stores telephone numbers along with names and addresses corresponding to the telephone numbers. In this case, database 140 may retrieve a name and an address associated with the caller's telephone number (act 420). Database 140 may return the results of the search, such as the name and address, to front end 310. Front end 310 may receive the information from database 140 and may use this information to assist in servicing the telephone call from the caller at user device 120.

For example, a text-to-speech converter included in or accessible by front end 310 may provide a voice greeting to the caller that includes the retrieved information (act 430). For example, the voice greeting may be, “Hello, You have reached the catalog request line for Company X. Is this Mr. Smith from 123 Main Street?” The caller may then answer yes or no. Alternatively, a human operator may voice the retrieved information to the caller to verify that the retrieved information is the correct information for that particular caller.

Speech recognizer 135 or the human operator may then determine whether the information voiced to the caller is correct (act 440). For example, speech recognizer 135 may determine whether the caller answered yes or no using speech processing module 320 and rules database 330. If the caller answered in the affirmative indicating that the name and address voiced to the caller are correct, front end 310 may provide another voice message to the caller confirming that the catalog will be sent to the caller (act 450). For example, front end 310 may provide a message, such as, “Mr. Smith, we will send you the requested catalog to your home address.”

In the event that the caller answers that the name and address voiced to the caller are not correct, front end 310 may prompt the caller for additional information (act 460). For example, front end 310 may prompt the caller for his/her home telephone number by requesting that the caller either voice the telephone number or enter the telephone number via a keypad. If the caller voices the telephone number, speech processing module 320 may determine what the caller said and front end 310 may confirm with the caller the telephone number he/she voiced.

Processing may then return to act 420. That is, front end 310 may forward the caller's home telephone number to database 140 to retrieve the caller's name and home address. Front end 310 may then confirm whether the retrieved information associated with the caller is correct (acts 430 and 440). In some implementations consistent with the invention, the caller may be prompted to provide his/her home telephone number prior to the first search of database 140, such as upon the initial greeting. This may help server 130 avoid searching database 140 more than once, such as in situations where the caller is not placing the call from his/her home telephone.

After receiving confirmation that the voiced name and/or address are correct, server 130 may perform the desired service associated with the telephone call (act 470). For instance, in the example above, server 130 and/or a party affiliated with server 130 may send the desired product catalog to the caller at his/her home address.

In some implementations consistent with the invention, once front end 310 has received confirmation that the retrieved information is correct, front end 310 may engage the caller with additional questions based on the particular application. For example, if server 130 provides information to callers on more than one topic, front end 310 may provide a menu of selections associated with each particular topic and have the caller either voice a selection or press a number on a telephone keypad. Speech processing module 320 may then be used to determine the user's response using rules database 330 to facilitate the speech recognition process.

In addition, in some implementations consistent with the invention, speech processing module 320 may use the retrieved information as an aid when performing speech recognition. For example, some of the information retrieved from database 140 may be information that a caller may be required to voice, such as his/her name and/or address. In this case, speech processing module 320 may use the retrieved information to weight potential results of the speech recognition process.

For example, assume that front end 310 requests that the caller voice his/her name and address. Further assume that speech processing module 320 is having a difficult time determining whether the caller voiced 70 Main Street or 17 Main Street. In this case, if front end 310 has retrieved 70 Main Street from database 140 as the caller's likely address, speech processing module 320 may determine that the most likely voice input is 70 Main Street and may weight that result accordingly. Front end 310 may then verify that the caller's address is 70 Main Street.

In other instances, the retrieved information may be used to verify that the caller is who he/she claims to be. For example, the retrieved information may include a date of birth, a personal identification number (PIN), or other information known to the caller. In each case, speech processing module 320 may use the retrieved information as an aid in performing speech recognition on voice input from the caller, thereby yielding more accurate speech recognition results.

In another implementation consistent with the invention, once a caller's name and address have been verified, server 130 may use this information to retrieve additional information regarding the caller. For example, in a commercial application, such as an application involving a retailer, front end 310 may retrieve information regarding the caller's account. In this case, if the caller wishes to retrieve information regarding his/her account, the caller may voice the request. Speech processing module 320 may then use the retrieved information regarding the caller's account to help determine the caller's request. For example, if the caller is requesting the status of an order or wishes to determine an outstanding balance for a bill, speech processing module 320 may determine that the most likely voice input is associated with the retrieved information for that caller and may weight what was voiced using the retrieved information as an aid.

As another example, assume that the application executed by server 130 involves allowing the caller to purchase a product. In this case, front end 310 may automatically access a credit bureau's database using the caller's name and/or address to determine whether the caller has a good credit history. If the credit history is not good, server 130 may require that the caller purchase the product using a credit card as opposed to being billed at a later time.

CONCLUSION

Systems and methods consistent with the invention provide an enhanced process for servicing requests by leverage existing content. This allows for faster processing of the requests and streamlines any dialog that may be needed when servicing the requests. In addition, aspects consistent with the invention may also leverage existing data to facilitate a speech recognition process to further streamline processing of the requests.

In this disclosure, there is shown and described only the preferred embodiments of the invention, but, as aforementioned, it is to be understood that the invention is capable of use in various other combinations and environments and is capable of changes or modifications within the scope of the inventive concept as expressed herein.

For example, implementations consistent with the principles of the invention have been described mainly with the example of retrieving name and address information based on an identified telephone number from a caller. It should be understood that implementations consistent with the principles of the invention may retrieve information from any existing database based on the particular application and leverage the retrieved information to provide the desired service. For example, implementations consistent with principles of the invention may retrieve information associated with motor vehicles and may allow a caller to, for example, renew his/her vehicle registration over the telephone, request an address change, etc. Other implementations may retrieve a caller's banking information to facilitate various banking functions, retrieve credit card related information to facilitate credit card related functions, etc. In each case, the retrieved information may be used to streamline processing associated with servicing the particular request. It should also be understood that implementations consistent with principles of the invention may not involve servicing requests made via telephone, but may involve any system that leverages existing data to service a request.

Lastly, a series of acts has been described with respect to FIG. 4. The order of the acts may be varied in other implementations consistent with the invention. Moreover, non-dependent acts may be performed in parallel. Further, the invention is not limited to any specific combination of hardware circuitry and/or software.

No element, act, or instruction used in the description of the invention should be construed as critical or essential to the invention unless explicitly described as such. Also, as used herein, the article “a” is intended to include one or more items. Where only one item is intended, the term “one” or similar language is used. Further, the phrase “based on,” as used herein is intended to mean “based, at least in part, on” unless explicitly stated otherwise.

The scope of the invention is defined by the claims and their equivalents.

Patent Citations
Cited PatentFiling datePublication dateApplicantTitle
US4958368 *Oct 31, 1988Sep 18, 1990Gte Mobilnet IncorporatedCustomer activation system
US5146487 *Jun 26, 1990Sep 8, 1992Intertel Entertainment, Inc.Method for creating and composing audio text message
US5829000Oct 31, 1996Oct 27, 1998Microsoft CorporationMethod and system for correcting misrecognized spoken words or phrases
US5867562 *Apr 17, 1996Feb 2, 1999Scherer; Gordon F.Call processing system with call screening
US6016336 *Nov 18, 1997Jan 18, 2000At&T CorpInteractive voice response system with call trainable routing
US6058364Nov 20, 1997May 2, 2000At&T Corp.Speech recognition of customer identifiers using adjusted probabilities based on customer attribute parameters
US6061654Dec 16, 1996May 9, 2000At&T Corp.System and method of recognizing letters and numbers by either speech or touch tone recognition utilizing constrained confusion matrices
US6122612Nov 20, 1997Sep 19, 2000At&T CorpCheck-sum based method and apparatus for performing speech recognition
US6122615Mar 24, 1998Sep 19, 2000Fujitsu LimitedSpeech recognizer using speaker categorization for automatic reevaluation of previously-recognized speech data
US6223156 *Apr 7, 1998Apr 24, 2001At&T Corp.Speech recognition of caller identifiers using location information
US6292799 *Jun 5, 1998Sep 18, 2001Netnumber.Com, Inc.Method and apparatus to automatically address a voice mail reply to a voice mail message
US6373939 *Aug 20, 1999Apr 16, 2002Communications And Commerce CorporationMachine assisted system for processing and responding to requests
US6459782 *Nov 10, 1999Oct 1, 2002Goldstar Information Technologies, LlcSystem and method of developing mapping and directions from caller ID
US6598019Jun 20, 2000Jul 22, 2003Sunflare Co., Ltd.Evaluation method, apparatus, and recording medium using optimum template pattern determination method, apparatus and optimum template pattern
US7035867Nov 28, 2001Apr 25, 2006Aerocast.Com, Inc.Determining redundancies in content object directories
US7042989 *Dec 17, 2002May 9, 2006Sbc Knowledge Ventures, L.P.Flexible call alerting
US7046777 *Jun 2, 2003May 16, 2006International Business Machines CorporationIVR customer address acquisition method
US7143039 *Aug 11, 2000Nov 28, 2006Tellme Networks, Inc.Providing menu and other services for an information processing system using a telephone or other audio interface
US7240002Nov 7, 2001Jul 3, 2007Sony CorporationSpeech recognition apparatus
US20020013705Jul 20, 2001Jan 31, 2002International Business Machines CorporationSpeech recognition by automated context creation
US20020037073 *Nov 2, 2001Mar 28, 2002Reese Ralph H.Machine assisted system for processing and responding to requests
US20030081744 *Aug 28, 2002May 1, 2003Gedaliah GurfeinInteractive voice communications network entertainment
US20030191639Apr 5, 2002Oct 9, 2003Sam MazzaDynamic and adaptive selection of vocabulary and acoustic models based on a call context for speech recognition
US20030228007 *Oct 10, 2002Dec 11, 2003Fujitsu LimitedCaller identifying method, program, and apparatus and recording medium
US20040071275 *May 13, 2003Apr 15, 2004International Business Machines CorporationTelephone call handling solution in an interactive voice response system
US20040190687 *Mar 26, 2003Sep 30, 2004Aurilab, LlcSpeech recognition assistant for human call center operator
US20040198461 *Sep 12, 2002Oct 7, 2004Coombes Daniel J.Method and apparatus for answering incoming calls at a mobile communication device
US20050100144 *Oct 10, 2001May 12, 2005O'connor DeanVoice recognition method and apparatus using model number lookup
US20050137868Dec 19, 2003Jun 23, 2005International Business Machines CorporationBiasing a speech recognizer based on prompt context
US20050149328Dec 30, 2003Jul 7, 2005Microsoft CorporationMethod for entering text
US20050233735 *Mar 30, 2005Oct 20, 2005Jeyhan KaraoguzEnhanced caller ID information based on access device information via a broadband access gateway
US20050267748 *May 25, 2005Dec 1, 2005Galileo Processing, Inc.Methods for obtaining complex data in an interactive voice response system
Non-Patent Citations
Reference
1"What is a VIN Number", Oct. 2000, http://web.archive.org/web/20001017235211/http://www.nsxprime.com/FAQ/General/vin.html.
Classifications
U.S. Classification379/88.23, 379/70, 379/167.08
International ClassificationH04M1/64, H04M11/00, H04M3/42
Cooperative ClassificationH04M3/42068, H04M3/42042, H04M3/42, G10L15/10
European ClassificationH04M3/42, G10L15/10
Legal Events
DateCodeEventDescription
Apr 22, 2014ASAssignment
Owner name: VERIZON PATENT AND LICENSING INC., NEW JERSEY
Effective date: 20140409
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:VERIZON BUSINESS GLOBAL LLC;REEL/FRAME:032734/0502
Apr 16, 2007ASAssignment
Owner name: MCI, LLC, NEW JERSEY
Free format text: MERGER;ASSIGNOR:MCI, INC.;REEL/FRAME:019162/0877
Effective date: 20060109
Owner name: VERIZON BUSINESS GLOBAL LLC, VIRGINIA
Free format text: CHANGE OF NAME;ASSIGNOR:MCI, LLC;REEL/FRAME:019162/0910
Effective date: 20061120
Jul 28, 2004ASAssignment
Owner name: MCI, INC., VIRGINIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SCHULTZ, PAUL T.;SARTINI, ROBERT A.;REEL/FRAME:015631/0355
Effective date: 20040720